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A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

arXiv 2307.04607 ↗First posted 10 Jul 2023eess.SP cs.AIcited by 0

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Abstract (arXiv)

In this paper we present a memristor-inspired computational method for obtaining a type of running spectrogram or fingerprint of epileptiform activity generated by rodent hippocampal spheroids. It can be used to compute on the fly and with low computational cost an alert-level signal for epileptiform events onset. Here, we describe the computational method behind this fingerprint technique and illustrate it using epileptiform events recorded from hippocampal spheroids using a microelectrode array system.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 26 references that are in the map. First posted on arXiv 10 Jul 2023.

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References · 3

  1. 2018An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approachcited by 16
  2. 2021An End-to-End Deep Learning Approach for Epileptic Seizure Predictioncited by 7
  3. 2021A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Predictioncited by 1

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